• Title/Summary/Keyword: thinning method

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Effect of wall Thinning on the Failure of Pipes Subjected to Bending Load (굽힘하중을 받는 배관의 파손에 미치는 감육의 영향)

  • AHN SEOK-HWAN;LEE SOO-SIG;NAM KI-WOO
    • Proceedings of the Korea Committee for Ocean Resources and Engineering Conference
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    • 2004.11a
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    • pp.242-246
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    • 2004
  • Effects of circumferentially local wall thinning on the fracture behavior of pipes were investigated by monotonic four-point bending. Local wall thinning was machined on the pipes in order to simulate erosion/corrosion metal loss. The configurations of the eroded area included an eroded ratio of d/t= 0.2, 0.5, 0.6, and 0.8, and an eroded length of I = 10 mm, 25 mm, and 120 mm. Fracture type could be classified into ovalization, local buckling, and crack initiation depending on the eroded length and eroded ratio. Three-dimensional elasto-plastic analyses were also carried out using the finite element method, which is able to accurately simulate fracture behaviors excepting failure due to cracking. It was possible to predict the crack initiation point by estimating true fracture ductility under multi-axial stress conditions at the center of the eroded area.

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A Consideration of the Optimal Thinning Algorithm For Contour Line Vectorizing in the Geographic Information System (지리정보시스템에서 등고선 벡터화를 위한 최적 세선화 알고리즘에 대한 고찰)

  • Won, Nam-Sik;Jeon, Il-Soo;Lee, Doo-Han;Bu, Ki-Dong
    • Journal of the Korean Association of Geographic Information Studies
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    • v.2 no.1
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    • pp.45-53
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    • 1999
  • Geographic Information System(GIS) which facilitates efficient storage and retrieval of geographic information is very useful tools. It is of extreme importance to develop automated vectorizing system as input method for GIS, because it takes a large amount of time and effort in constructing a GIS. In all kinds of map processed by GIS, contour line map specially takes a large amount of effort. In this paper we have considered an optimal thinning algorithm for the contour line vectorizing in the GIS. Based on the experimental results, it has been proved that thinning algorithm using the connection value is most excellent algorithm in the similarity and connectivity.

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Probabilistic Estimation of LMR Fuel Cladding Performance Under Transient Conditions

  • Kwon, Hyoung-Mun;Lee, Dong-Uk;Lee, Byung-Oon;Kim, Young ll;Kim, Yong-Soo
    • Nuclear Engineering and Technology
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    • v.35 no.2
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    • pp.144-153
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    • 2003
  • The object of this paper is the probabilistic failure analysis on the cladding performance of WPF(Whole Pin Furnace) test fuel pins under transient conditions, and analysis of the KALIMER fuel pin using the preceding analysis. The cumulative damage estimation and Weibull probability estimation of WPF test are performed. The probabilistic method was adapted for these analyses to determine the effective thickness thinning due to eutectic penetration depth. In the results, it is difficult to assume that a brittle layer depth made by eutectic reaction is all of the thickness reduction due to cladding thinning. About 93% cladding thinning of the eutectic penetration depth is favorable as an effective thickness of cladding. And the unreliability of the KALIMER driver fuel pin under the same WPF test condition is lower than that of the WPF pin because of the higher plenum-fuel volume ratio and lower cladding inner radius vs. thickness ratio. KALIMER fuel pin developed from conceptual design has a more stable transient performance for a failure mechanism due to fission gas buildup than the WPF pin.

A Robust Thinnig Algorithm (잡음에 강한 세선화 알고리즘)

  • 손동일;권영빈
    • Korean Journal of Cognitive Science
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    • v.2 no.2
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    • pp.341-358
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    • 1990
  • In this paper, A thinning algorithm which can solve a noise problem os proposed. The proposed method is based on the pavlidis thinning algorithm. During a contour tracing period of the given image, the masks of $3{\times}3$ pixels are proposed. They check all possible caseds of the noise conditions. As soon as the contour tracing is finished, the candidates of the noise are automatically deleted. As a result of the implementation of the proposed algorithm, the similar results which is obtained by noise-free image are obtained and they show the simplified structures comparing with the thinning results of the noisy images. Thus, They illustrate that a simple recognition part is needed to identify the objects.

Parallel Thinniing Algorithm using Weighted-Value (가중치를 이용한 병렬 세선화 알고리즘)

  • Han, Nak-Hee;Rhee, Phil-Kyu
    • Korean Journal of Cognitive Science
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    • v.7 no.1
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    • pp.5-35
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    • 1996
  • This paper addresses an one-pass parallel thinning algorithm which shows effectiveness in both accuracy and speed. The proposed method is based on parallel iterative boundary removal.Image connectivity are preseved and the algorithms performance is compared to other algorithms especially to parallel thinning algorithm which is the best parallel algorithm have been proposed.Evaluation result shows that the proposed algorithm compare favorably to others.The result shows exact thinning free from one pixel boundary noise and free from distortion of shape.

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Nonlinear dynamics and stability of film casting process

  • Lee, Joo-Sung;Hyun, Jae-Chun
    • Korea-Australia Rheology Journal
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    • v.13 no.4
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    • pp.179-187
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    • 2001
  • As part of continuing efforts to investigate nonlinear dynamics and stability of film casting process, our earlier results obtained by Lee et al. (2001b) have been extended in the present study to cover the film casting of both extension thickening and extension thinning fluids. The same instability mechanism and draw resonance criterion previously derived have been found valid here, and a rather complex dynamic behavior of film width in contrast to that of film thickness has also been confirmed. The effect of fluid viscoelasticity on draw resonance, however, exhibits opposite results depending on whether the fluid is extension thickening or thinning, i.e., it stabilizes film casting in the former while destabilizing in the latter. The encapsulation extrusion method which recently has been successfully employed to stabilize industrially important paper coating process, has been theoretically explained in the present study as to why such stabilization is possible.

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Experimental study on the shear thinning effects of viscosity index improver added lubricant by in-situ optical viscometer

  • Jang, Siyonl
    • Korea-Australia Rheology Journal
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    • v.15 no.3
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    • pp.117-124
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    • 2003
  • Elastohydrodynamic lubrication (EHL) film is measured under the condition of viscosity index improver added to base oil. In-situ optical contact method using the interference principle make the measuring resolution of ~5 nm possible and enables the measuring range all over the contact area of up to ~300 $\mu\textrm{m}$ diameter. What is more important to the developed method by the author is that the measurement of EHL film thickness is possible in the range from 100 nm to 2 $\mu\textrm{m}$, which is the regime of worst contact failures in precision machinery. Viscosity index improver (VII) is one of the major additives to the modem multigrade lubricants for the viscosity stability against temperature rise. However, it causes shear thinning effects which make the film thickness lessened very delicately at high shear rate (over $10^5 s^{-1}$) of general EHL contact regime. In order to exactly verify the VIIs performance of viscosity stability at such high shear rate, it is necessary to make the measurement of EHL film thickness down to ~100 nm with fine resolution for the preliminary study of viscosity control. In this work, EHL film thickness of VII added lubricant is measured with the resolution of ~5 nm, which will give very informative design tool for the synthesis of lubricants regarding the matter of load carrying capacity at high shear rate condition.

Evaluation of Thickness Reduction in an Aluminum Sheet using SH-EMAT (SH-EMAT를 이용한 알루미늄 박판의 두께감육 평가)

  • Kim, Yong-Kwon;Park, Ik-Kuen
    • Journal of Welding and Joining
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    • v.28 no.2
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    • pp.74-78
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    • 2010
  • In this paper, a non-contact method of evaluating the thickness reduction in an aluminum sheet caused by corrosion and friction using SH-EMAT (shear horizontal, electromagnetic acoustic transducer) is described. Since this method is based on the measurement of the time-of-flight and amplitude change of guided waves caused from the thickness reduction, it provides information on the thinning defects. Information was obtained on the changes of the various wave features, such as their time-of-flight and amplitude, and their correlations with the thickness reduction were investigated. The interesting features in the dispersive behavior of selected guided modes were used for the detection of thinning defects. The measurements of these features using SH waves were performed on aluminum specimens with regions thinned by 7.2% to 29.5% of the total thickness. It is shown that the time-of-flight measurement provides an estimation of the thickness reduction and length of the thinning defects.

Collapse moment estimation for wall-thinned pipe bends and elbows using deep fuzzy neural networks

  • Yun, So Hun;Koo, Young Do;Na, Man Gyun
    • Nuclear Engineering and Technology
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    • v.52 no.11
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    • pp.2678-2685
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    • 2020
  • The pipe bends and elbows in nuclear power plants (NPPs) are vulnerable to degradation mechanisms and can cause wall-thinning defects. As it is difficult to detect both the defects generated inside the wall-thinned pipes and the preliminary signs, the wall-thinning defects should be accurately estimated to maintain the integrity of NPPs. This paper proposes a deep fuzzy neural network (DFNN) method and estimates the collapse moment of wall-thinned pipe bends and elbows. The proposed model has a simplified structure in which the fuzzy neural network module is repeatedly connected, and it is optimized using the least squares method and genetic algorithm. Numerical data obtained through simulations on the pipe bends and elbows with extrados, intrados, and crown defects were applied to the DFNN model to estimate the collapse moment. The acquired databases were divided into training, optimization, and test datasets and used to train and verify the estimation model. Consequently, the relative root mean square (RMS) errors of the estimated collapse moment at all the defect locations were within 0.25% for the test data. Such a low RMS error indicates that the DFNN model is accurate in estimating the collapse moment for wall-thinned pipe bends and elbows.

An Extraction Technique of Automatic Recognizing Regions on Power Distribution Facility Map by Partial Extension (부분확장에 의한 배전설비도면의 자동인식 대상영역 추출 방법)

  • Kim, Gye-Young;Lee, Bong-Jae;Cho, Seon-Ku;Woo, Hee-Gon
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.48 no.10
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    • pp.1349-1355
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    • 1999
  • A power distribution facility map is drawn on cadastral map. Besides, grid lines are added on the map for sectionalization. For automatic recognition of the map, we first extract recognizing regions. In this paper, we propose an extraction method of recognizing regions by partially extending thinned image. The proposed method is consist of three phases, binarization phase, thinning phase and partial extending phase. The first phase generate a binary image using threshold value which is obtained by histogram analysis. The binary image contains many part of recognizing regions, but not all. The second phase generate thinned image which is generated by appling thinning operator to the binary image. And the third phase extends thinned image from terminal point until satisfying termination condition. The proposed method is tested on several power distribution facility maps, and the results are presented.

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